
Staff Engineer – AI
4 days ago
BQE Software is
seeking a highly skilled and innovative
Staff Engineer – AI & Innovation
to join our R&D Engineering team. This senior-level role is ideal for experienced engineers (6–8 years) who can architect and scale enterprise-grade AI solutions while providing technical leadership across teams. You will play a pivotal role in designing a multi-agent AI platform, building scalable cloud-native systems, and driving innovation through applied AI research.
As a Staff Engineer, you will work across the full stack of AI engineering — from data pipelines and APIs to distributed cloud deployments — ensuring performance, security, and scalability. Beyond hands-on development, you will mentor engineers, collaborate with product and leadership teams, and champion best practices in quality, observability, and compliance. This is a unique opportunity to shape the future of AI innovation at BQE while making a direct impact on the industries we serve.
Key Responsibilities
- Architect & Lead:
Own the design of a multi-agent AI system (LangGraph + MCP + AWS native stack). - Scale the Platform
: Ensure highly available, cost-optimized, and production-ready deployments on AWS (Lambda, Fargate, API Gateway, Bedrock, OpenSearch). - Data Intelligence:
Oversee ETL and embedding pipelines that sync SQL data into vector DBs for context-aware AI. - Quality First:
Champion CI/CD, SonarQube quality gates, testing strategies, and observability best practices. - Secure & Compliant:
Define standards for tenant isolation, authentication, authorization, and auditability. - Innovation & Research:
Prototype new capabilities like voice-to-entry, context-aware reminders, and predictive time entry. - Mentorship:
Guide mobile, backend, and AI teams through design reviews, technical coaching, and cross-team collaboration.
Required Experience
- 6-8 Years of experience in Software Engineering.
- Deep expertise in
cloud architecture (AWS preferred)
and distributed systems. - Hands-on with
Python / / Kotlin / Java
, including designing APIs and microservices. - Proven experience with
AI/ML systems
(LLMs, embeddings, RAG pipelines, or similar). - Strong background in
CI/CD, code quality, and system observability
. - Exceptional communicator with ability to partner across
engineering, product, and leadership
Preferred (Nice to Have)
- Experience with
LangGraph, MCP server design, or multi-agent systems
. - Prior work on
voice interfaces
(AWS Transcribe, Alexa, Google Speech, etc.). - Experience in
FinTech, ERP, or enterprise SaaS platforms
. - Passion for
building frameworks and reusable platforms
. - Strong AI/cloud expertise; experience with scalable enterprise SaaS or high-scale distributed systems is a strong plus.
- Innovation mindset with experience exploring and applying emerging AI and cloud-native technologies.
- Curiosity to explore emerging AI frameworks & Ability to translate them into practical enterprise solutions
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